CPS: Small: Collaborative Research: RUI: Towards Efficient and Secure Agricultural Information Collection Using a Multi-Robot System

随着世界人口的增长和农业用地的减少，通过保护作物健康和减少病虫害来最大限度地提高作物产量成为当务之急。尽管仍有数十年的历史，但也有越来越多的人采用所谓的精准农业解决方案，即在日常农田作业中使用新兴技术的传感、自动化和分析。随着农民能够实时获取关键数据(例如土地和天气状况)，并可以迅速与他人分享任何不利的结果，农田运营正在演变为成熟的网络物理系统。为此，该项目旨在开发、实施和评估一个自主、高效和安全的多机器人农业信息收集系统。该项目由北佛罗里达大学(UNF)牵头，中佛罗里达大学(UCF)支持，有两个主要目标：(I)开发和实施自主移动机器人的新型信息收集技术，利用区块链以高效而安全的方式收集、存储和共享数据；(Ii)培训本科生和研究生进行基础和应用研究，同时与佛罗里达州东北部的当地农田合作伙伴密切合作。目前的技术已经将机器人用于农业目的，但它们通常具有较高的维护成本，并且不一定考虑与安全和数据完整性相关的问题。主要目标是设计和部署一组自主机器人，这些机器人可以无线通信，并通过规划的路径导航，以收集有价值的数据。该项目还将考虑安全攻击的威胁，收集的数据可能被破坏；寻找新的基于区块链的分布式共识协议，以减轻此类攻击的敌对影响。该项目还包含一个重要的研究和教育部分，利用联合国基金会在一个主要是本科院校(RUI)的背景下发挥领导作用。作为一所主要的本科院校，在杰克逊维尔地区缺乏攻读更高学位的机会。该项目与联合国基金会和UCF之间的一项既定谅解备忘录(MoU)相一致，旨在为计算/工程专业的学生在联合国基金会攻读理科硕士学位提供渠道，这些学位可以无缝地融入UCF的博士课程。学生将受益于将在联合国基金会开发的新机器人课程和UCF提供的课程。研究进展将通过每年在这两个机构举行的技术讲习班来展示。开发的解决方案预计将转移到其他网络物理系统应用，包括搜索和救援、巡逻、先进制造等。更广泛地说，该项目将提高当今青少年和年轻人对迫在眉睫的农业危机的认识，如果全球粮食生产进一步落后于满足全球人口增长的需求。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

With the growing world population and diminishing agricultural lands, it becomes imperative to maximize crop yield by protecting crop health and mitigating against pests and diseases. Though there are decades-old practices still in place, there is also growing adoption of so-called precision agriculture solutions, which employ emerging technologies in sensing, automation, and analytics in daily farmland operations. As farmers gain real-time access to critical data (e.g., land and weather conditions) and can quickly share any untoward findings with others, farmland operations are morphing into full-fledged cyber-physical systems. To this end, this project seeks to develop, implement and evaluate a multi-robot agricultural information collection system that is autonomous, efficient and secure.This project led by the University of North Florida (UNF) and supported by the University of Central Florida (UCF) has two main goals: (i) develop and implement novel information collection techniques for autonomous mobile robots that collect, store and share data in an efficient yet secure manner using blockchain,and (ii)and to train undergraduate and graduate students to conduct basic and applied research while closely working with local farmland partners in north-east Florida. Current technologies already use robots for agricultural purposes, but they typically have a high maintenance cost and do not necessarily consider issues related to security and data integrity. The primary objective is to design and deploy a set of autonomous robots that communicate wirelessly and navigate through planned paths in order to collect valuable data. This project will also consider the threat of security attacks by which collected data can be corrupted; seeking new distributed blockchain-based consensus protocols that mitigate the adversarial influence of such attacks. This project also contains a significant research and education component leveraging the leadership of UNF in the context of a primarily undergraduate institution (RUI). Being predominantly an undergraduate institution, there is a lack of opportunity for pursuing higher degrees in the Jacksonville area. This project aligns with an established Memorandum of Understanding (MoU) between UNF and UCF to provide a conduit for computing/engineering students to pursue M.S. degrees at UNF that feed seamlessly into Ph.D. programs at UCF. Students will benefit from the new robotics course to be developed at UNF and the ones being offered at UCF. Research progress will be showcased via technical workshops at both institutions to be held annually. Developed solutions are expected to transfer to other cyber-physical system applications, including search and rescue, patrolling, advanced manufacturing, among others. Most broadly, this project will raise awareness among today's teenagers and young adults of the impending agricultural crisis if worldwide food production falls even further behind meeting demands of an increasing global population.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.